Evidence map›Paper›PMID 35115526›Full record

ArticleNature communications2022

The selection force weakens with age because ageing evolves and not vice versa.

Stefano Giaimo, Arne Traulsen

Abstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Molecular mechanisms of aging and anti-aging strategies.Cell communication and signaling : CCS · 2024
    Review
  7. Investigation of Pancreatic-beta Cells Role in the Biological Process of Ageing.Endocrine, metabolic & immune disorders drug targets · 2024
    Review
  8. Article
  9. Review
  10. Host developmental stages shape the evolution of a plant RNA virus.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Article
  11. Article
  12. Mitochondrial DNA Repair in Neurodegenerative Diseases and Ageing.International journal of molecular sciences · 2022
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Stefano GiaimoDepartment of Evolutionary Theory, Max Planck Institute for Evolutionary Biology, August-Thienemann-Straße 2, 24306, Plön, Germany. giaimo@evolbio.mpg.de.ORCID 0000-0003-0421-3065
Arne TraulsenDepartment of Evolutionary Theory, Max Planck Institute for Evolutionary Biology, August-Thienemann-Straße 2, 24306, Plön, Germany.ORCID 0000-0002-0669-5267

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

According to the classic theory of life history evolution, ageing evolves because selection on traits necessarily weakens throughout reproductive life. But this inexorable decline of the selection force with adult age was shown to crucially depend on specific assumptions that are not necessarily fulfilled. Whether ageing still evolves upon their relaxation remains an open problem. Here, we propose a fully dynamical model of life history evolution that does not presuppose any specific pattern the force of selection should follow. The model shows: (i) ageing can stably evolve, but negative ageing cannot; (ii) when ageing is a stable equilibrium, the associated selection force decreases with reproductive age; (iii) non-decreasing selection is either a transient or an unstable phenomenon. Thus, we generalize the classic theory of the evolution of ageing while overturning its logic: the decline of selection with age evolves dynamically, and is not an implicit consequence of certain assumptions.

Indexed as

AlgorithmsEvolution, MolecularModels, GeneticSelection, GeneticAdaptation, BiologicalAgingAnimalsHumansLongevityMutationReproduction

Identifiers

PMID35115526
PMCPMC8813929

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.